Multi-criteria decision analysis without consistency in pairwise comparisons

0557718 - ÚTIA 2023 RIV US eng J - Článek v odborném periodiku
Carpitella, Silvia - Inuiguchi, M. - Kratochvíl, Václav - Pištěk, Miroslav
Multi-criteria decision analysis without consistency in pairwise comparisons.
Computers & Industrial Engineering. Roč. 168, č. 1 (2022), č. článku 108089. ISSN 0360-8352. E-ISSN 1879-0550
Grant ostatní: GA ČR(CZ) GA19-06569S
Program: GA
Institucionální podpora: RVO:67985556
Klíčová slova: Decision-Making Theory * Decision Support Systems * Analytic Hierarchy Process * Intransitive Preferences * Skew-symmetric Bi-linear Representation
Obor OECD: Business and management
Impakt faktor: 7.9, rok: 2022
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2022/MTR/pistek-0557718.pdf https://www.sciencedirect.com/science/article/pii/S0360835222001590?via%3Dihub

Life itself is colorful and brings situations where making the right decision is a matter of compromise given the various criteria, often conflicting with each other. To handle such situations, a plethora of mathematical methods supporting decision-making has been developed. A little attention has been paid to cases where either criteria or expert preferences are not transitive by nature. Usually, standard decision-making methods handle such a case as an input error (input inconsistency). Being designed for consistent cases, standard methods may conclude in wrong results. We present a novel framework aimed at dealing with inconsistent preferences, without forcing experts to reconsider their initial judgments thus distorting their spontaneous assessments. A simulation analysis has been led to check the methodological validity of our proposal. Specifically, by setting different consistency ranges, thousands of experiments on simulated matrices confirm that our framework represents a valid alternative to the traditional practice. The applicability of the proposed approach has been eventually demonstrated through a real-world case study focused on supply chain management of a relevant industrial problem.
Trvalý link: http://hdl.handle.net/11104/0331639